1 citations · 1 across the 8 of their papers we have counts for
8 papers
Real-time Projected Gradient-based Nonlinear Model Predictive Control with an Application to Anesthesia Control
Sophie Hall, Lukas Ortmann, Miguel Picallo +1
Medical drug infusion problems pose a combination of challenges such as nonlinearities from physiological models, model uncertainty due to inter- and intra-patient variability, as…
Adaptive Real-Time Grid Operation via Online Feedback Optimization with Sensitivity Estimation
Miguel Picallo, Lukas Ortmann, Saverio Bolognani +1
In this paper we propose an approach based on an Online Feedback Optimization (OFO) controller with grid input-output sensitivity estimation for real-time grid operation, e.g., at…
Cross-layer Design for Real-Time Grid Operation: Estimation, Optimization and Power Flow
Miguel Picallo, Dominic Liao-McPherson, Saverio Bolognani +1
In this paper, we propose a combined Online Feedback Optimization (OFO) and dynamic estimation approach for a real-time power grid operation under time-varying conditions. A dynami…
Sensitivity-conditioning: Beyond Singular Perturbation for Control Design on Multiple Time Scales
Miguel Picallo, Saverio Bolognani, Florian Dörfler
A classical approach to design controllers for interconnected systems is to assume that the different subsystems operate at different time scales, then design simpler controllers w…
Closing the Loop: Dynamic State Estimation and Feedback Optimization of Power Grids
Miguel Picallo, Saverio Bolognani, Florian Dörfler
This paper considers the problem of online feedback optimization to solve the AC Optimal Power Flow in real-time in power grids. This consists in continuously driving the controlla…
Comparison of Bounds for Optimal PMU Placement for State Estimation in Distribution Grids
Miguel Picallo, Adolfo Anta, Bart De Schutter
The lack of measurements in distribution grids poses a severe challenge for their monitoring: since there may not be enough sensors to achieve numerical observability, load forecas…
Sieving out Unnecessary Constraints in Scenario Optimization with an Application to Power Systems
Miguel Picallo, Florian Dörfler
Many optimization problems incorporate uncertainty affecting their parameters and thus their objective functions and constraints. As an example, in chance-constrained optimization…
Efficient convex optimization for optimal PMU placement in large distribution grids
Miguel Picallo, Adolfo Anta, Bart De Schutter
The small amount of measurements in distribution grids makes their monitoring more difficult. Topological observability may not be possible, and thus, pseudo-measurements are neede…